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"In todays business environment data corruption can have serious consequences for the enterprise including service unavailability, system reconciliation costs, and damage to customer relationships and business reputation. The JBoss Transaction Service (JBossTS) protects businesses from data corruption by guaranteeing complete, accurate business transactions for Java based applications (including those written for the JEE and EJB frameworks) thereby eliminating the risks and costs associated with time-consuming manual reconciliation following failures."

"Stop using Tomcat and wondering why JEE "doesn't work." You're doing yourself a big disservice. Start thinking about JBoss AS 6, or GlassFish v3 - Yes, I know, it's a "Full JEE Container," - it's "Heavy," but with JEE6, that's not a bad thing: It all "Just works" and it works really well. Trust me, the reason people have thought Java EE sucks, is because they try to do this stuff on Tomcat, and say "Why doesn't (JPA, JMS, JTA, EJB, JSF, CDI) work?" Well… that's because Tomcat only gives you Servlet - the Request/Response lifecycle. So people install all these things manually, or try to, and then say, "Wow, Java EE is really hard to use, shit, I'm gonna use Spring or Grails instead.""

The Simple Logging Facade for Java or (SLF4J) serves as a simple facade or abstraction for various logging frameworks, e.g. java.util.logging, log4j and logback, allowing the end user to plug in the desired logging framework at deployment time. Before you start using SLF4J, we highly recommend that you read the two-page SLF4J user manual. In case you wish to migrate your Java source files to SLF4J, consider our migrator tool which can migrate your project into SLF4J in minutes. In case an externally-maintained component you depend on uses a logging API other than SLF4J, such as commons logging, log4j or j.u.l, have a look at SLF4J's binary-support for legacy APIs.

migrate4j is a database migration tool. Suppose you determine that you need a new database table for your project. If you develop alone, you could write an SQL script that adds a table and manually apply this to your development system. But if you work with other developers, or need to keep a test system in synch with your development system, this become tedious and error prone. Migration tools make it possible to add your new table (or make any other schema changes) in an automated fashion, ensuring all your systems are always in synch. Migration tools also make it possible to quickly and easily roll back previous changes. Unlike typing commands into an interactive SQL window or storing SQL scripts, migration tools keep a detailed history of how your database schema evolved (just in case you need to go back to a previous version). Finally, migration tools minimize or eliminate the problem of having to use vendor specific syntax - you may never switch database products, but if you do, using a migration tool will make your life much easier. The initial intent of migrate4j was to make a Java version of Ruby's db:migrate. If you've used db:migrate, you probably fell in love with it's simple syntax, easy configuration and ability to roll changes up and back effortlessly. The intent (and the challenge) of migrate4j is to bring the power and simplicity of db:migrate to Java programmers, using familiar type safety and syntax. Along the way, we're adding additional functionality that makes migrate4j more than just another Ruby tool rewritten for Java - it is a Java project intended to make other Java projects even better.

Jettison is a collection of Java APIs (like STaX and DOM) which read and write JSON. This allows nearly transparent enablement of JSON based web services in services frameworks like CXF or XML serialization frameworks like XStream. There are currently two included conventions for mapping JSON to XML. The first, is BadgerFish which implements the full XML infoset in JSON using various techniques. The second, is called the "mapped" convention. It allows you to manually map XML namespaces to JSON element prefixes. Jettison was developed for usage in XFire and CXF to enable JSON based services. Later it also found its place in Java object serialization with XStream To learn more, see the User's Guide.

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